Estimation - Estimation and Sampling Distributions Bring...

Info iconThis preview shows pages 1–5. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Estimation and Sampling Distributions Bring the textbook to class . Inferential Statistics : The Big Picture Social scientists: want to know about the characteristics of populations but usually can only measure samples Therefore they need to estimate population parameters from sample statistics Two goals Make unbiased estimates Assess error made when making estimates A concept known as a sampling distribution helps accomplish these goals Problem We typically want to know something about people in general but it is seldom practical to involve a whole population in a research study The scores we typically work with are from a sample of the larger population Partial solutions try to obtain a sample that is representative of the population use sample statistics to estimate population parameters Sampling Goal -- obtain a subset of the population that represents the population with similar characteristics -- e.g, mean and standard deviation Ideally we should use random sampling each element in the population has an equal chance of being chosen each selection is independent of other selections...
View Full Document

This note was uploaded on 04/16/2008 for the course PSYC 100 taught by Professor ? during the Spring '08 term at San Diego.

Page1 / 21

Estimation - Estimation and Sampling Distributions Bring...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online